Data science internship jobs in Phoenix, AZ

External candidates: In order for your application to be correctly processed please sign-in before you apply Internal candidates: Please go to Workday and click "Find Jobs" link under Career Thank you for considering opportunities with us! Job Title Data Science Intern - Summer 2026 Requisition Number R7429 Data Science Intern - Summer 2026 (Open) Location Glendale, Arizona Additional Locations Arizona - Home Teleworkers Job Information CSAA Insurance Group (CSAA IG), a AAA insurer, is one of the top personal lines property and casualty insurance groups in the U.S. Our employees form the heart and soul of fulfilling our enduring purpose to help members prevent, prepare for and recover from life's uncertainties, and we're proud of the culture we create together. As we commit to progress over perfection, we recognize that every day is an opportunity to be innovative and adaptable. At CSAA IG, we hire good people for a brighter tomorrow. Join us and support CSAA Insurance Group, a AAA Insurer, in achieving our goals. Internship Summary: We are actively hiring for a Data Science Intern! This summer, we are looking for motivated individuals looking to begin a career in our Data Science department to support our Research team. As an intern you will work with our data science team on innovation projects focused on artificial intelligence and machine learning. CSAA Internship Program: As an intern, you will participate in an 11-week summer internship experience with an emphasis on hands-on learning and real-world immersion into our business. Our interns participate in professional development and job-specific training and plenty of networking opportunities to gain deep understanding of their role and department while also broadening their knowledge of CSAA's business. We offer an Intern Innovation Challenge, executive meet and greets, community service opportunities, and social bonding activities to help you stay connected. Internship Details: The anticipated dates of our 2026 summer internship will be May 26-August 7. This role can be remote or hybrid based out of our Glendale, AZ office. The anticipated hourly rate for this role is $39.00. Essential responsibilities Collaborate with our data science team and business leads to pursue research in areas of high business impact. Drive CSAA's knowledge of our customers through research projects from data collection to model development. Provide recommendation based on well-documented, reproducible analysis from large datasets. Work on a capstone project and present findings to senior management Ideal Qualifications Current graduate student pursuing a quantitative or analytically focused degree, ideally graduating December 2026 or later. Interested to begin a career with a focus on data or statistical analysis. Familiar with manipulating raw data with Python. Creative problem solver with a strong interest in machine learning. High-energy, high-impact individual who can provide statistical insights with data Self-motivated and results-oriented professional with strong written and verbal communication skills. Able to influence and effectively manage multiple projects while communicating effectively in front of others Enthusiastic to learn new concepts and committed to self-development Has a keen analytical mind with a sharp eye for details Must have authorization to work indefinitely in the US. CSAA IG Careers As part of our values, we are committed to supporting inclusion and diversity at CSAA IG. We actively celebrate colleagues' different abilities, sexual orientation, ethnicity, and gender. Everyone is welcome and supported in their development at all stages in their journey with us. We are always recruiting, retaining, and promoting a diverse mix of colleagues who are representative of the diversity in the U.S. workforce. This diversity gives us a great opportunity to have access to a broad range of ideas and allows us to give you the wide mix of products you know and expect from CSAA. At CSAA IG, we're proudly devoted to protecting our customers, our employees, our communities, and the world at large. We are on a climate journey to continue to do better for our people, our business, and our planet. Taking bold action and leading by example. We are citizens for a changing world, and we continually change to meet it. Let's Work Together Submit your application to be considered. We communicate via email, so check your inbox and/or your spam folder to ensure you don't miss important updates from us. If reasonable accommodation is needed to participate in the job application or interview process, please contact **************************. CSAA Insurance Group is an equal opportunity employer. Recognition We offer 401(k) Plan with a company match, employee rewards and recognition, paid time off and holidays, product discounts, and much more. Please note that this role does not offer a performance bonus. .

Job Description is hybrid in Phoenix, AZ - with some time spent in office for meetings. In Person interview is required. Our direct client has an opening for a Data Analyst 5681. is up to 12 months with the option of extension. The client is in Phoenix, AZ. Please send us your rate and resume. 50% - Develop test plans/scenarios/cases/scripts to ensure appropriate test coverage. Provide direction to developers to implement solutions per requirements. Execute testing based upon documented test cases/scripts and ensure applications tested meet customer defined business requirements per documented user acceptance criteria. Conduct user acceptance testing with end users to ensure implemented solution meets expectations. Document and track software defects as well as issues with performance and usability. 30% - Identify, evaluate, and document business needs and objectives, operational processes and procedures, problems and requirements. Understand the business case, and gaps in documented business process (as is vs. to be). Perform requirements elicitation/documentation/management, as well as use case documentation (standard, alternate, and error) to assist developers in creation of solutions to meet business objectives. Leverage understanding to document meaningful user acceptance criteria for user stories. Capable of facilitating communication between stakeholders from all levels of the organization while objectively identifying and resolving conflict. 20% - Identify and document processes and procedures related to Business Analysis and Quality Assurance standards, including opportunities for improvement. Identify candidates for test automation, document test flow and data requirements/dependencies, and implement using approved tools. Required Skills • Windows Server Experience • SDLC - Agile (Scrum, Kanban) Experience • Intermediate Visual Studio/TFS/VSTS Experience • Intermediate VSTS Experience • Intermediate STLC Experience • Intermediate .Net Applications, ETL Experience • Intermediate SQL Server 2008 R2 & 2016 Experience • SSIS/SSRS Experience • Backend database testing to include: tables/views • Intermediate MS Office (Word, Excel, PowerPoint, Access) Experience Nice-To-Have Skills • Backend database testing to include: indexes, triggers, stored procedures, packages • Experience with API testing • Experience with Automated testing

Established in 1991, Collabera has been a leader in IT staffing for over 22 years and is one of the largest diversity IT staffing firms in the industry. As a half a billion dollar IT company, with more than 9,000 professionals across 30+ offices, Collabera offers comprehensive, cost-effective IT staffing & IT Services. We provide services to Fortune 500 and mid-size companies to meet their talent needs with high quality IT resources through Staff Augmentation, Global Talent Management, Value Added Services through CLASS (Competency Leveraged Advanced Staffing & Solutions) Permanent Placement Services and Vendor Management Programs. Collabera recognizes true potential of human capital and provides people the right opportunities for growth and professional excellence. Collabera offers a full range of benefits to its employees including paid vacations, holidays, personal days, Medical, Dental and Vision insurance, 401K retirement savings plan, Life Insurance, Disability Insurance. Job Description Tasks and responsibilities: • Function point analysis. Functional side of a technical requirement. Gather information from technical teams…put data together - Really understand what the delivery teams are doing Documentation is correct. • Performs data analytics on various processes and projects to measure post-implementation performance. • Coordination, scheduling and facilitation of kick-off, validation and follow-up meetings. • Gathering of project documentation from SDLC Document Repository and user stories from Rally. • Extraction of quantitative project data for analysis of project level performance. • Preparation of reporting for review with Product Teams and ad hoc data requests. Preferred Additional Skills: • Proficient in MS Access and SQL Server • Strong financial acumen. Qualifications Required Skills: • Familiarity with SDLC documentation, process and tools. • Knowledge of project management methodologies (Waterfall and Agile) • Ability to analyze large populations of data, deciphers common themes, trends and outliers, and transform in to meaningful, actionable output. • Confident communicator. • Excellent analytical and problem solving skills. • Advanced MS Excel and MS PowerPoint skills • Bachelor's Degree in Computer Science, Information Systems, Business Administration, or other related field. Or equivalent work experience • 3 to 5 years of relevant technical or business work experience. Additional Information To know more on this position or to schedule an interview, please contact: Vishwas Jaggi ************

The Company PayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, PayPal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy. We operate a global, two-sided network at scale that connects hundreds of millions of merchants and consumers. We help merchants and consumers connect, transact, and complete payments, whether they are online or in person. PayPal is more than a connection to third-party payment networks. We provide proprietary payment solutions accepted by merchants that enable the completion of payments on our platform on behalf of our customers. We offer our customers the flexibility to use their accounts to purchase and receive payments for goods and services, as well as the ability to transfer and withdraw funds. We enable consumers to exchange funds more safely with merchants using a variety of funding sources, which may include a bank account, a PayPal or Venmo account balance, PayPal and Venmo branded credit products, a credit card, a debit card, certain cryptocurrencies, or other stored value products such as gift cards, and eligible credit card rewards. Our PayPal, Venmo, and Xoom products also make it safer and simpler for friends and family to transfer funds to each other. We offer merchants an end-to-end payments solution that provides authorization and settlement capabilities, as well as instant access to funds and payouts. We also help merchants connect with their customers, process exchanges and returns, and manage risk. We enable consumers to engage in cross-border shopping and merchants to extend their global reach while reducing the complexity and friction involved in enabling cross-border trade. Our beliefs are the foundation for how we conduct business every day. We live each day guided by our core values of Inclusion, Innovation, Collaboration, and Wellness. Together, our values ensure that we work together as one global team with our customers at the center of everything we do - and they push us to ensure we take care of ourselves, each other, and our communities. Job Summary: We are seeking a Senior Data Scientist to build data-driven strategies that enhance the authentication and risk signaling of financial instruments across our platform. In this role, you will analyze large-scale transactional and behavioral data to detect patterns of fraud, identify vulnerabilities, and generate actionable insights to launch risk strategies to mitigate fraud and influence product partners to build product solutions that improve security and user experience without compromising on customer friction. You will collaborate closely with Machine Learning Engineers, product managers, engineers, and cross-functional teams to socialize new ideas and build capabilities. Your work will be critical in shaping scalable, intelligent systems that mitigate fraud while minimizing user friction. Job Description: * BS/BA degree in Mathematics Statistics, Operations Research, Engineering, Economics or related quantitative discipline or equivalent with 6+ years' experience.; Masters degree and 4+ years related professional work experience developing data-driven fraud strategies, leveraging analytical insights to detect patterns, assess risk, and design scalable solutions to combat fraudulent activity. * Proven experience working with large datasets, with strong proficiency in SQL, Python/ R and any data visualization tools. Skilled in conducting deep analytical investigations and solving complex problems, with a solid understanding of machine learning techniques and statistical concepts. * Experience evaluating and integrating third-party data vendors to enhance fraud detection capabilities and strengthen risk signaling. * Ability to translate data-driven insights into relevant stories and make decisions even if the data ambiguous. * Strong understanding of payment systems and e-commerce platforms, with hands-on experience designing and analyzing A/B tests to evaluate and optimize product and risk strategies. * Proven ability to lead projects individually and mentor other junior data scientists. * Excellent analytical, problem-solving, and decision-making skills. * Strong communication skills, both written and verbal, with the ability to present complex information clearly to senior leadership. * Ability to work collaboratively with cross-functional teams and external partners. * Strong organizational skills and attention to detail. Competencies: * Analytical Thinking: Strong analytical skills to assess complex information, identify trends, and make data-driven decisions. * Communication: Excellent communication skills to effectively interact with internal and external stakeholders and present findings to senior leadership. * Problem-Solving: Proactive approach to identifying issues and implementing effective solutions. * Collaboration: Strong ability to work collaboratively with cross-functional teams and external partners to achieve common goals. Preferred Qualification: Subsidiary: PayPal Travel Percent: 0 * PayPal is committed to fair and equitable compensation practices. Actual Compensation is based on various factors including but not limited to work location, and relevant skills and experience. The total compensation for this practice may include an annual performance bonus (or other incentive compensation, as applicable), equity, and medical, dental, vision, and other benefits. For more information, visit ******************************* The US national annual pay range for this role is $123,500 to $212,850 PayPal does not charge candidates any fees for courses, applications, resume reviews, interviews, background checks, or onboarding. Any such request is a red flag and likely part of a scam. To learn more about how to identify and avoid recruitment fraud please visit ************************************ For the majority of employees, PayPal's balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations. Our Benefits: At PayPal, we're committed to building an equitable and inclusive global economy. And we can't do this without our most important asset-you. That's why we offer benefits to help you thrive in every stage of life. We champion your financial, physical, and mental health by offering valuable benefits and resources to help you care for the whole you. We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit ******************************* Who We Are: Click Here to learn more about our culture and community. Commitment to Diversity and Inclusion PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at ****************************************. Belonging at PayPal: Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. Belonging at PayPal means creating a workplace with a sense of acceptance and security where all employees feel included and valued. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal. Any general requests for consideration of your skills, please Join our Talent Community. We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don't hesitate to apply.

Matrix has been named a Zweig Group 2025 Best Firm to Work For! Matrix Design Group, Inc is actively hiring for an in-office Data Scientist position in our San Antonio, Denver, Colorado Springs or Phoenix offices. As an employee-owned company we are committed to fostering, cultivating, and preserving a culture of diversity, respect, and excellence. We have a friendly, collegial, collaborative atmosphere and offer a full range of benefits including medical, dental, vision, disability, and life insurance; holiday, vacation, and sick leave; training and education; 401(k) and an Employee Stock Ownership Plan (ESOP). We strive to employ highly motivated people capable of creatively applied problem-solving skills who desire to advance personally and professionally. Salary Range: $90,000.00 to $110,000.00 Annually. Salary will be dependent upon experience. Location: San Antonio, Denver, Colorado Springs or Phoenix. (Must be willing to work a hybrid schedule) SUMMARY: Matrix seeks a driven individual to provide Data Science and Business Intelligence support to the firm as part of our Advanced Solutions Division. Support to Advanced Solutions is often related directly or indirectly to the Department of Defense and will include data collection and analysis, leveraging various programming languages to meet client needs, researching and writing unique reports. It may also include data management, exposure to cloud platforms, the use of APIs, and other tasks as assigned. ESSENTIAL FUNCTIONS: Support continuous process improvement and business process reengineering projects through focused application of sound data science, data analysis, and mathematical principles, to include process mapping, data collection, analysis, & visualization Support project execution to include the development of technical documents and presentations and contributing to other project deliverables Support project execution with statistical and other technical skills, to include but not limited to: statistical analysis, simulation, modeling, machine learning, artificial intelligence, or other methods to analyze information and develop practical solutions to business problems; digital dashboard construction, linear regression, parameter estimates, connection of data silos, and process automation Support proposal development by providing technical content and coordinating with others to incorporate the input and feedback of both clients and team members Meet with clients and their representatives as an individual or part of a team to present results, explain complex technical and/or statistical concepts, resolve issues, answer questions, and maintain positive, constructive relations Research areas or issues as assigned and write formal and informal reports of varying lengths focused on summarizing information or persuading readers to support objectives COMPETENCIES Proficiency and demonstrated ability to work independently in statistical analysis, simulation, modeling, machine learning, artificial intelligence, or other methods to analyze information and develop practical solutions to business problems Proficiency in programming tools and languages, to include SQL, Python, R, and APIs Proficiency in data visualization tools (e.g., Power BI, Tableau, R Shiny, and others) Well-versed in use of the Microsoft Office suite of products, to include Power Platform and SharePoint Familiarity with the Department of Defense (DoD) and the Department of the Air Force (DAF) Ability to harness the above in the scraping of PDFs or web for relevant information Strategic thinker with exceptional communication skills (written and oral) and presentation skills, including the ability to synthesize and distill complex topics into concise reports/presentations Possess the ability to explain complex technical information in a manner comprehensible to non-technical audiences Ability and willingness to travel to project sites and other facility offices EDUCATION AND EXPERIENCE: Graduate degree in data science, statistics, operations research, engineering, or related field of study 4 or more years of relevant experience in data science, data management, and/or data analysis, to include internship(s) Valid driver's license, in conjunction with successfully passing the Company's MVR screening Other Duties: Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without notice. Physical Demands: While performing the duties of this job, the employee is regularly required to sit; use hands to finger, handle, or feel; reach with hands and arms and talk or hear. The employee is occasionally required to stand; walk and stoop, kneel, crouch, or crawl. The employee must occasionally lift and/or move up to 10 pounds. The noise level in the work environment is usually moderate. Matrix Design Group, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, gender, color, religion, sex, national origin, or protected veteran status, and will not be discriminated against based on disability. Any applicant with a qualifying physical or mental disability who believes they require reasonable accommodation for any part of the application process should contact us at ************ for assistance. How to Apply: Please apply online at ****************************************

The main responsibilities of this role include - Assist in the preparation of reports and building complex data models Devise new data collection and analysis processes Work with key stakeholders to priorities information needs Analyse results and report findings to the business Identify and interpret trends or patterns in complex data sets Develop strategies to optimise the quality of statistical results Maintain database Research background materials, including relevant economic and financial data Assist in the development of long-range financial forecasts and related budgets The Successful Applicant The Successful Applicant will have the following - Bachelors degree in Business / Commerce or related discipline Ideally 1-3 years of experience, however, will also consider graduates straight from University Intermediate Excel skills Strong analytic skills and problem solving Strong communication skills Proficient in Power BI (preferred) What's on Offer New office currently being built Opportunity to develop and enhance career flexible working arrangements Work closely with the CFO Attractive remuneration and bonus Flexible working arrangements

Datavant is a data platform company and the world's leader in health data exchange. Our vision is that every healthcare decision is powered by the right data, at the right time, in the right format. Our platform is powered by the largest, most diverse health data network in the U.S., enabling data to be secure, accessible and usable to inform better health decisions. Datavant is trusted by the world's leading life sciences companies, government agencies, and those who deliver and pay for care. By joining Datavant today, you're stepping onto a high-performing, values-driven team. Together, we're rising to the challenge of tackling some of healthcare's most complex problems with technology-forward solutions. Datavanters bring a diversity of professional, educational and life experiences to realize our bold vision for healthcare. Datavant is looking for an enthusiastic and meticulous Data Scientist to join our growing team, which builds machine learning models for use across Datavant in multiple verticals and for multiple customer types. As part of the Data Science team, you will play a crucial role in developing new product features and automating existing internal processes to drive innovation across Datavant. You will work with tens of millions of patients' worth of healthcare data to develop models, contributing to the entirety of the model development lifecycle from ideation and research to deployment and monitoring. You will collaborate with an experienced team of Data Scientists and Machine Learning Engineers along with application Engineers and Product Managers across the company to achieve Datavant's AI-enabled future. **You Will:** + Play a key role in the success of our products by developing models for NLP (and other) tasks. + Perform error analysis, data cleaning, and other related tasks to improve models. + Collaborate with your team by making recommendations for the development roadmap of a capability. + Work with other data scientists and engineers to optimize machine learning models and insert them into end-to-end pipelines. + Understand product use-cases and define key performance metrics for models according to business requirements. + Set up systems for long-term improvement of models and data quality (e.g. active learning, continuous learning systems, etc.). **What You Will Bring to the Table:** + Advanced degree in computer science, data science, statistics, or a related field, or equivalent work experience. + 4+ years of experience with data science and machine learning in an industry setting. + 4+ years experience with Python. + Experience designing and building NLP models for tasks such as classification, named-entity recognition, and dependency parsing. + Proficiency with standard data analysis toolkits such as SQL, Numpy, Pandas, etc. + Proficiency with deep learning frameworks like PyTorch (preferred) or TensorFlow. + Demonstrated ability to drive results in a team environment and contribute to team decision-making in the face of ambiguity. + Strong time management skills and demonstrable experience of prioritising work to meet tight deadlines. + Initiative and ability to independently explore and research novel topics and concepts as they arise. \#LI-BC1 We are committed to building a diverse team of Datavanters who are all responsible for stewarding a high-performance culture in which all Datavanters belong and thrive. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. At Datavant our total rewards strategy powers a high-growth, high-performance, health technology company that rewards our employees for transforming health care through creating industry-defining data logistics products and services. The range posted is for a given job title, which can include multiple levels. Individual rates for the same job title may differ based on their level, responsibilities, skills, and experience for a specific job. The estimated total cash compensation range for this role is: $136,000-$170,000 USD To ensure the safety of patients and staff, many of our clients require post-offer health screenings and proof and/or completion of various vaccinations such as the flu shot, Tdap, COVID-19, etc. Any requests to be exempted from these requirements will be reviewed by Datavant Human Resources and determined on a case-by-case basis. Depending on the state in which you will be working, exemptions may be available on the basis of disability, medical contraindications to the vaccine or any of its components, pregnancy or pregnancy-related medical conditions, and/or religion. This job is not eligible for employment sponsorship. Datavant is committed to a work environment free from job discrimination. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. To learn more about our commitment, please review our EEO Commitment Statement here (************************************************** . Know Your Rights (*********************************************************************** , explore the resources available through the EEOC for more information regarding your legal rights and protections. In addition, Datavant does not and will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay. At the end of this application, you will find a set of voluntary demographic questions. If you choose to respond, your answers will be anonymous and will help us identify areas for improvement in our recruitment process. (We can only see aggregate responses, not individual ones. In fact, we aren't even able to see whether you've responded.) Responding is entirely optional and will not affect your application or hiring process in any way. Datavant is committed to working with and providing reasonable accommodations to individuals with physical and mental disabilities. If you need an accommodation while seeking employment, please request it here, (************************************************************** Id=**********48790029&layout Id=**********48795462) by selecting the 'Interview Accommodation Request' category. You will need your requisition ID when submitting your request, you can find instructions for locating it here (******************************************************************************************************* . Requests for reasonable accommodations will be reviewed on a case-by-case basis. For more information about how we collect and use your data, please review our Privacy Policy (**************************************** .

Turner & Townsend is a global professional services company with over 22,000 people in more than 60 countries. Working with our clients across real estate, infrastructure, energy and natural resources, we transform together delivering outcomes that improve people's lives. Working in partnership makes it possible to deliver the world's most impactful projects and programs as we turn challenge into opportunity and complexity into success. Our capabilities include program, project, cost, asset and commercial management, controls and performance, procurement and supply chain, net zero and digital solutions. We are majority-owned by CBRE Group, Inc., the world's largest commercial real estate services and investment firm, with our partners holding a significant minority interest. Turner & Townsend and CBRE work together to provide clients with the premier program, project and cost management offering in markets around the world. Job Description Turner & Townsend are engaged to support our client with many complex projects, and we are seeking the ideal Construction Cost Data Analyst responsible for data management, analytics and dashboard reporting development for our technology client's Global Data Center Portfolio. As part of this role, you may also be required to perform cost management duties for related projects. Responsibilities: Analyze cost trends, issues and opportunities for a global data center portfolio. Projects are across various regions, in different construction stages and ranging from small colocation fit-out to large hyperscale lease. You will likely perform a variety of analyses such as benchmarking, trend identification, growth forecasting to add value to problem-solving discussions. Provide insights and/or recommendations based on analysis to facilitate internal initiatives. Ability to present analysis findings in a clear concise and professional manner. Identify ways to improve and streamline processes with the use of software tools and/or automation. Review contractor and subcontractor pricing against benchmarks, including identifying and negotiating outliers. Develop and maintain project cashflow forecasts and accruals on a monthly basis. Analyze project budgets against program-wide benchmarks and ongoing cost trends. If necessary, provide recommendations to the client on project funding needs based on those benchmarks and cost trends. Support the client in compiling information required for capital planning requests (funding). SOX control responsibilities may be part of this role, which are to be adhered to where applicable. Qualifications Minimum of 4 years of using technical skills such as benchmarking, data modeling, and statistical methods to solve problems. Previous commercial experience in data center or industrial / manufacturing projects. Advanced software skills in Excel and Power BI Dashboards. UAT/QA experience is helpful. Strong presentation skills and ability to thrive in a client-facing role. Good organization skills, ability to multi-task, prioritize, and be a team player. Additional Information *On-site presence and requirements may change depending on our clients' needs.* Our inspired people share our vision and mission. We provide a great place to work, where each person has the opportunity and voice to affect change. We want our people to succeed both in work and life. To support this we promote a healthy, productive and flexible working environment that respects work-life balance. Turner & Townsend is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees and actively encourage applications from all sectors of the community. Please find out more about us at ************************** Turner & Townsend does not accept any speculative or unsolicited CV's that have been sent to our internal recruitment team or hiring managers from agencies outside of our preferred supplier list or that have not followed due process. Any speculative or unsolicited CV's will be treated as a direct application. All your information will be kept confidential according to EEO guidelines. #LI-MB1 Join our social media conversations for more information about Turner & Townsend and our exciting future projects: Twitter Instagram LinkedIn It is strictly against Turner & Townsend policy for candidates to pay any fee in relation to our recruitment process. No recruitment agency working with Turner & Townsend will ask candidates to pay a fee at any time. Any unsolicited resumes/CVs submitted through our website or to Turner & Townsend personal e-mail accounts, are considered property of Turner & Townsend and are not subject to payment of agency fees. In order to be an authorised Recruitment Agency/Search Firm for Turner & Townsend, there must be a formal written agreement in place and the agency must be invited, by the Recruitment Team, to submit candidates for review.

Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click "Apply to Job" online on this web page. **Required Skills:** Data Scientist Responsibilities: 1. Apply expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how Meta users interact with our consumer and business products. 2. Mine massive amounts of data and perform large-scale data analysis to extract useful business insights. 3. Develop data pipelines with automated, machine-learning systems that convert noisy core datasets into powerful signals of user behavior. 4. Build models of user behaviors for analysis or to power production systems. 5. Partner with Product and Engineering teams to solve problems and identify trends and opportunities. 6. Design and implement dashboards and reports that track key business metrics and provide actionable insights. 7. Inform, influence, support, and execute our product decisions and product launches by effectively communicating results to cross functional groups. 8. Work across areas of product operations, exploratory analysis, product leadership, and data infrastructure to help shape the future of what we build at Meta. 9. Telecommuting from anywhere in the U.S. allowed. **Minimum Qualifications:** Minimum Qualifications: 10. Bachelor's degree (or foreign equivalent) in Information Technology, Computer Science or related field.Requires completion of a university-level course, research project or internship involving the following 11. Relational database (SQL) 12. Developing in scripting language (Python, R) 13. Large scale data processing infrastructures using distributed systems (Hadoop, Hive) 14. Data Visualization (Tableau) **Public Compensation:** $165,787/year to $196,900/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

Job Details Phoenix, AZ - Phoenix, AZ $19.00 - $24.00 HourlyDescription The Data Analyst is responsible for supporting eligibility, pension and annuity operational functions for data management. Additionally, this role is responsible for producing, tracking, verifying and distributing loads, files and reports. This individual will be able to self-motivate to meet hard deadlines on multiple client projects within a fast-moving environment. Responsibilities Data Management & Maintenance Create and maintain codes, parameters, schedules, rates, etc. Produce, verify and distribute reports and quarterly/year-end files. Create, verify and process data loads. Transfer data to Pension and Annuity records Assist with the processing and distribution of vendor files. Assist with the creation of new reports as needed. Provide continuing support and technical guidance. Implementation Support group implementations and migration set up, file layouts, data review, loads, etc. Set up, maintain and support employer portal. Teamwork Work cooperatively with other team members. Actively participate in team meetings and training activities. Perform additional responsibilities as periodically assigned. Qualifications Education/Certification: High School Diploma/GED or equivalent experience (minimum) Skills/Abilities: Proven problem solving and analytical skills. Basic understanding of MS Office. Detail oriented, with a high level of accuracy. Strong dedication to follow-through on all tasks and assignments. Ability to follow detailed instructions and vendor correspondence independently. Strong interpretation of reports/data extracts in a variety of file layouts and ability to identify errors/issues. Ability to sit for long periods of time operating a computer keyboard. Ability to organize, set priorities, work independently and complete multiple projects within established deadlines. Professional, client-focused approach to colleagues and assignments. Minimal knowledge of the fundamentals of defined benefit, defined contributions, and annuity is a plus (additional Pension training to be provided as needed). Employee Benefits Program COMPANY PROVIDES: MEDICAL, DENTAL , VISION SHORT-TERM DISABILITY Full coverage benefits for a low weekly premium of $5 (Employee Only), $15 (for Child(ren) and $20 per week for full family or Employee/Spouse. COMPANY PAID supplemental dental coverage of $1,000 per year for Employee. COMPANY PAID LONG TERM Disability & Life/AD&D coverage. 401K Plan including company match up to 5%. COMPANY PAID additional pension plan entirely funded by the company. EXCEPTIONAL TIME OFF package including Paid Personal Leave (PPL) and Vacation with annual BUY BACK options!!!! Annual, automatic pay increases. Southwest Service Administrators provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, pregnancy, military and veteran status, age, physical and mental disability, genetic characteristics, or any other considerations made unlawful by applicable state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence compensation and training. Southwest Service Administrators expressly prohibits any form of workplace harassment based on race, color, religion, sex, national origin, pregnancy, military and veteran status, age physical and mental disability, or genetic characteristics.

Salary Range\: $78,000.00 to $124,750.00 annually + bonus + benefits The above represents the expected salary range for this job requisition. Ultimately, in determining your pay, we'll consider your location, experience, and other job-related factors. We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally: Competitive base salaries Bonus incentives 6% Company Match on retirement savings plan Free financial coaching and financial well-being support Comprehensive medical, dental, vision, life insurance, and disability benefits Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need 20+ weeks paid parental leave for all parents, regardless of gender, offered for pregnancy, adoption or surrogacy Free access to global on-site wellness centers staffed with nurses and doctors (depending on location) Free and confidential counseling support through our Healthy Minds program Career development and training opportunities For a full list of Team Amex benefits, visit our Colleague Benefits Site. American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. American Express will consider for employment all qualified applicants, including those with arrest or conviction records, in accordance with the requirements of applicable state and local laws, including, but not limited to, the California Fair Chance Act, the Los Angeles County Fair Chance Ordinance for Employers, and the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance. For positions covered by federal and/or state banking regulations, American Express will comply with such regulations as it relates to the consideration of applicants with criminal convictions. We back our colleagues with the support they need to thrive, professionally and personally. That's why we have Amex Flex, our enterprise working model that provides greater flexibility to colleagues while ensuring we preserve the important aspects of our unique in-person culture. Depending on role and business needs, colleagues will either work onsite, in a hybrid model (combination of in-office and virtual days) or fully virtually. US Job Seekers - Click to view the “Know Your Rights” poster. If the link does not work, you may access the poster by copying and pasting the following URL in a new browser window\: https\://******************* Employment eligibility to work with American Express in the United States is required as the company will not pursue visa sponsorship for these positions. At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. As part of Team Amex, you'll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express. Team Description The Global Merchant & Network Services (GMNS) organization is responsible for managing relationships with millions of Merchants and Partners around the world that facilitate American Express acceptance and enabling the day-to-day operations of our company's payment network. The people, processes, and technology that support this vital function are evolving to improve the merchant experience and economics. Within GMNS, the Global Strategy, Operations & Performance (GSOP) team's mission is to deliver a best-in-class premium merchant member experience that will get merchant to not only accept American Express but openly welcome and recommend us to their customers. The GMNS Data Office is responsible for bringing GMNS critical data elements and applications under the Enterprise Data Management Operating Policy (AEMP70) and Enterprise Data Risk Management Policy (AEMP79) compliance. Our team is dedicated to helping American Express leverage the true value of data through application of Data Management and Governance principles. Role Description As a Analyst, Data Governance & Management, you are part of a team responsible for supporting activities for the day-to-day compliance with the Enterprise Data Management Operating Policy within your domains/business units. You and your team are responsible for identifying critical data, maintaining data definitions, classifying data, supporting data sourcing / usage requests, measuring Data Risk Controls, and confirming Data Incidents are remediated. You will partner across various business units, technology teams, and product/platform teams to define and implement the data governance strategy, supervising and leading data quality, resolving data/platform issues, and driving consistency, usability, and governance of specific product data across the enterprise. Other Primary Responsibilities: Responsible for supporting the Data Steward in identifying data incidents, performing root-cause-analysis of data incidents and driving remediation of audit and regulatory feedback. Develop advanced knowledge on the Enterprise Data Management Operating Policy in order to support the Data Steward in the execution of their role. Responsible for holistic platform data quality monitoring, including but not limited to key reports. Assist in the identification of data risk, working with upstream data providers, downstream business partners, as well as technology teams. Support the Data Steward in in the establishment, maintenance, and testing of controls to manage data risk within their business unit. Support function for creation of controls to mitigate Data Quality risk, Fit for purpose risk and Data Steward risk as part of RCSA assessments. Coordinate with Business Units and other Business Unit Data Offices to ensure System level Lineage is documented completely and accurately Build advanced platform expertise to influence the identification of critical data elements and contribute to the roadmap to govern the data elements. Responsible to partner with the Data Steward in developing and managing the data management roadmap. Collaborate with and influence product managers to ensure all new use cases are managed according to policy. Minimum Qualifications: Bachelor's degree in business, analytics, information systems, computer science, engineering, or any other data-related field. Strong communications skills. Familiarity of current and upcoming data governance, data management and data product techniques and trends. Eagerness to test, learn, fail and improve is crucial. Must have a positive, collaborative leadership style with colleagues and customer first attitude. Preferred Qualifications: Certification as a Data Management Professional (CDMP) or other similar data management certification preferred. Certifications and experience working within the Collibra Data Intelligence Platform, MANTA, or other similar Data Governance tools preferred. Incident management and reporting, risk/data risk management, data breach management, data classification and handling, data quality monitoring and improvement, and data governance/compliance management experience preferred. Working knowledge of SQL & Python or other programming language preferred. Prior experience with Agile or SAFe project methodologies preferred. Guardian

Data Analyst 4 Job ID: 21-11545 Client is seeking a Data Analyst to coordinate changes to computer databases, test, and implement the database applying knowledge of database management systems. Job Responsibilities: * Expert level knowledge and experience in complex database structure (preferably in MDM and EDW environment) * Must have experience writing complex SQL (preferably ORACLE) and experience in Microsoft products - Excel, PowerPoint and Visio * Must have experience in Analyzing Data Quality, Control and Health Check. * Identified DQ gaps for various (in few 100s) existing "DQ Health Check batches" * Independent and pro-active while able to make decision and handle pressure in fast pace environment * Drive projects from discovery phase to solution proposal to delivery and Coordinate with all impacted line of businesses, IT Partners and various work streams * Prior experience in Banking and Finance preferred * Prior PM experience will be helpful * Thorough understanding and application of principles, standards, industry practices, techniques and concepts * Exercises judgment in selecting methods, techniques and evaluation criteria for obtaining results. * Demonstrated ability to develop solutions to highly complex and diverse analytical problems which requires an in-depth evaluation of variable factors. * Must have solid organizational skills, with the ability to handle complex projects in a multi-tasking environment and meet deadlines with quality results. * Job details *

Insight Global is looking to hire a Data Scientist to join one of the largest non-profit healthcare systems in the US. This position is responsible for ensuring the seamless operation and optimization of our Supply & Service Resource Management (SSRM) data driven insights, solutions, and processes. In this role, you will be responsible for applying your expertise in data analytics, data engineering, machine learning, and modeling to strengthen SSRM data solutions and processes. Your work will directly contribute to improving patient care, operational efficiency, and decision-making within our healthcare organization. Other responsibilities include: Technical Skill Set -Data Preprocessing: Clean, transform, and prepare data for development and analysis within a data warehouse composed of supply chain information. Ensure data quality, integrity, and consistency. -Development: Use Python and SQL to build and maintain automation processes, such as RPA and email bots, utilizing tools like relay servers and workflow schedulers for internal use by a wide range of supply chain professionals. -Data Integration: Design, code, and maintain data pipelines that bring together disparate healthcare data sources, including Electronic Health Records (EHR) systems, Enterprise Resource Planning (ERP) systems, and external data feeds from SFTP servers and APIs with a heavy emphasis on cloud-based solutions. Ensure that data is collected, stored, and processed efficiently for analysis. -Data Analysis: Analyze large and complex healthcare datasets to identify patterns, trends, and anomalies. Use statistical techniques to draw meaningful conclusions from data. -Error Handling: Provide advanced technical support on application performance issues, determine root causes, and implement system fixes and improvements. -Data Architecture: Build data storage, data warehousing, cloud integration, and data modeling strategies to support data analytic initiatives effectively. -Data Visualization: Create compelling data visualizations and dashboards to communicate findings and insights to non-technical stakeholders. -Machine Learning: Develop and implement predictive models, classification algorithms, and other machine learning techniques to solve supply chain oriented problems, such as automating supply chain processes and resource allocation optimization. Development Practices -Coding Standards: Write code that meets internal standards for style, maintainability, and best practices for a high-scale database environment. Maintain and advocate for these standards through code review. -Agile: Work in an agile environment across developers, analysts, project managers, leaders, and stakeholders utilizing Azure DevOps or a similar project management system. -Pair Programming: Actively participate in pair programming sessions with fellow data scientists involving a driver, a person who writes the code, and a navigator, a person who reviews each line of code. -Dynamic Environment: Function independently on multiple programming projects with competing priorities and adapt quickly to new ideas and disparate data environments like Oracle and Redshift. -Data Security and Compliance: Ensure that all data handling and analysis comply with relevant healthcare regulations and protect patient privacy. -Continuous Improvement/Continuous Development (CI/CD): Adopts a continuous improvement culture, seeking to make good processes better and to elevate those that need work. -Research and Development: Stay up-to-date with the latest advancements in healthcare analytics and data science, and actively contribute to the development of innovative solutions. Collaboration and Communication -Collaboration: Collaborate with cross-functional teams, such as, data engineers, SMEs, and IT professionals, to understand data requirements, business objectives, and supply chain workflows. -Stakeholder Interaction: Work collaboratively with various stakeholders of differing backgrounds. Being able to explain complex technical concepts in simple terms. -Presentation: Story-telling with data in a coherent manner to communicate the significance of analysis and findings. -Understanding Business Objectives: Comprehend business requirements behind analysis, which involves actively engaging with stakeholders to grasp their needs, challenges, and objectives. -Reporting: Collaborate to develop and refine reports and ad-hoc queries for presentations that convey key findings and their potential impact on healthcare operations so stakeholders can make informed decisions. We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to ********************.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: **************************************************** Skills and Requirements -Experience with Lawson S3 or equivalent procurement system experience. -Proficient in Python and SQL programming languages. -Knowledge of the supply chain and healthcare operations. -Experience with software engineering best practices, such as version control (Git), testing and continuous integrations, to analytics code. -Proficiency in data manipulation and analysis using tools like Pandas and NumPy. -Ability to extract, combine, and organize large data sets and knowledge of databases. -Understanding of machine learning algorithms, model development, and evaluation. -Proficiency in data visualization tools like Tableau, Google Looker, or similar software. -Excellent communication and teamwork skills, with the ability to convey complex technical information to non-technical stakeholders. -5+ years of relevant experience or a Bachelor's Degree in Data Science, Computer Science, Statistics, or a related field. -Master's Degree -Experience with healthcare data, including electronic health records (EHR), supply chain data, and clinical data. -Must be ok working 8:30am - 3:30pm MT.

The Shamrock Students Professional Internship Program is an 11-week program focused on hands-on training in a variety of opportunities throughout the Shamrock Foods Company enterprise. As a Shamrock Student, you will be a part of a cohort of interns focused on real projects that impact the business. In addition to the work, you will do to support your department, you'll get to know your fellow interns through a variety of collaborative projects and events. Essential Duties: * Provide support for the data and analytics team in an accurate and timely manner * Build and transform datasets to support data modeling and analysis needs. * Assist in developing and evaluating machine learning models and experiments. * Support data pipeline creation, including data ingestion, validation, and structuring. * Other duties as assigned Qualifications: * 1+ year(s) educational experience and currently pursuing a degree from an accredited college or university with a focus on Data and Analytics, Business Analytics, Statistics, Computer Science, or related studies * Maintains a minimum GPA of 3.0 * Must live in or near Phoenix, AZ * Strong written and oral communication skills * Strong sense of urgency and accountability * Demonstrates expertise in Microsoft Office suite (Excel, Outlook, Word) * Ability to learn and act in a fast-paced environment * Effective task management * High level of motivation and adaptability * Great attitude and desire to learn and grow Corporate Summary: At Shamrock Foods Company, people come first - our associates, our customers, and the families we serve across the nation. A privately-held, family-owned and -operated Forbes 500 company, Shamrock is an innovator in the food industry and has been since being founded in Arizona in 1922. Our Mission: At Shamrock Foods Company, we live by our founding family's motto to 'treat associates like family and customers like friends.' Why intern for us? Shamrock Foods Company is committed to a program that goes beyond your typical internship experience, giving interns the opportunity to start their career path. We offer great training and growth for college students to help interns apply their education towards solving business problems and working on hands-on projects in a workplace environment. Our interns are more than a temporary associate; they become part of our family. Equal Opportunity Employer At Shamrock Foods Co all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, veteran status, sexual orientation, gender identity or any other basis protected by applicable law.

Title: Data Scientist Department: Baseball Operations Reporting to: Assistant GM, Baseball Development & Technology Job Classification: Full-time, Exempt Full-time Location (City, State): Mesa, AZ About the A's: The A's are a baseball team founded in 1901. They have a rich history, having won nine World Series championships and 15 American League pennants. The A's are known for pioneering the "Moneyball" approach to team-building, which focuses on using statistical analysis to identify undervalued players. In addition to their success on the field, the A's also have a positive and dynamic work culture. They have been recognized twice as the Front Office Sports, Best Employers in Sports. The A's are defined by their core pillars of being Dynamic, Innovative, and Inclusive. Working for the A's offers the opportunity to be part of an innovative organization that values its employees and strives to create a positive work environment. Description: The A's are hiring for a full-time Data Scientist for the Baseball Operations Department. The Data Scientist will construct statistical models that inform decision-making in all facets of Baseball Operations. This position requires strong experience in statistics, data analytics, and computer science. This position is primarily based out of Mesa, AZ. Responsibilities: Design, build, and maintain predictive models to support player evaluation, acquisition, development, and performance optimization. Collaborate with Baseball Analytics staff to integrate analytical findings into decision-making tools and ensure seamless implementation. Analyze and synthesize large-scale data, creating actionable insights for stakeholders within Baseball Operations. Research and implement advanced statistical methods, including time series modeling, spatial statistics, boosting models, and Bayesian regression, to stay on the cutting edge of sabermetric research. Develop and maintain robust data modeling pipelines and workflows in cloud environments to ensure scalability and reliability of analytical outputs. Produce clear, concise written reports and compelling data visualizations to communicate insights effectively across diverse audiences. Stay current with advancements in data science, statistical methodologies, and player evaluation techniques to identify and propose new opportunities for organizational improvement. Mentor team members within the Baseball Operations department, fostering a collaborative and innovative research environment. Requirements: PhD in Mathematics, Statistics, Computer Science, or a related quantitative field. Proficiency in SQL, R, Python, or other similar programming languages. Strong understanding of modern statistical and machine learning methods, including experience with predictive modeling techniques. Proven experience productionizing machine learning models in cloud environments. Ability to communicate complex analytical concepts effectively to both technical and non-technical audiences. Demonstrated ability to independently design, implement, and present rigorous quantitative research. Passion for sabermetric research and baseball analytics with a deep understanding of player evaluation methodologies. Strong interpersonal and mentoring skills with a demonstrated ability to work collaboratively in a team-oriented environment. Preferred Qualifications: Expertise in time series modeling, spatial statistics, boosting models, and Bayesian regression. Previous experience in sports analytics, ideally baseball, is a plus. Familiarity with integrating biomechanical data into analytical frameworks. The A's Diversity Statement: Diversity Statement Diversity, Equity, and Inclusion are in our organizational DNA. Our commitment to these values is unwavering - on and off the field. Together, we continue to build an inclusive, innovative, and dynamic culture that encourages, supports, and celebrates belonging and amplifies diverse voices. Combining a collaborative and innovative work environment with talented and diverse team members, we've created a workforce in which every team member has the tools to reach their full potential. Equal Opportunity Consideration: We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, age, disability, gender identity, marital or veteran status, or any other protected class.

Job Title: Junior Data Scientist - Multi-Agent Systems, Analytics, and Insights Seniority Level: Intern to Junior Industry: AI and Healthcare SaaS Employment Type: Full-time Mission Transform the way patients and providers communicate through intelligent, data-driven systems. 2025 Goal Support one million patients with real-time AI-powered communication and operational insight. About Peerlogic Peerlogic is redefining front office operations for dental and veterinary practices. Our conversational AI assistant, Aimee, turns every call into a revenue opportunity. We are building the most intelligent patient engagement platform in healthcare-and we're looking for builders who want to help ship high-impact product features powered by data. Role Overview We're hiring a Junior Data Scientist to join our multi-agent systems and product analytics team. This is a product-oriented role-not research-focused-where you'll build features, monitor system performance, recommend improvements, and collaborate with engineering in an agile, fast-paced environment. You'll use data to improve how our AI agents work and scale across thousands of practices. What You Will Own • Build and enhance product features based on LangGraph multi-agent orchestration • Monitor system performance and behavior in production • Investigate and triage bugs or regressions through data analysis • Recommend improvements and automation opportunities • Collaborate with engineers, designers, and product managers in an agile product team • Focus on delivering high-quality, reliable solutions that impact real users Requirements • Master's degree in Data Science, Computer Science, AI, or related field preferred • Equivalent hands-on experience in applied analytics or data-driven product work also considered • Strong Python skills (pandas, NumPy, seaborn, matplotlib); working knowledge of SQL • Comfortable working with production data, debugging with metrics, and making actionable recommendations • Experience with agile development and cross-functional collaboration • Familiarity with LangGraph, LangChain, or AI orchestration tools is a plus • Exceptional communication and a bias toward execution and product delivery Why Peerlogic • Work on real features that ship into production and improve patient experiences • In-office mentorship, fast feedback loops, and close collaboration with senior talent • Competitive compensation and equity • Defined salary progression at 3, 6, and 12 months

As a Data Center Quality Inspector I, you provide superb quality control services for our clients. The work includes performing essential inspections of electrical equipment and systems, such as switchgear and substations. Detailed knowledge of mechanical and instrumentation is critical to conduct inspections and interpret electrical drawings and specifications. Attentively, you ensure the equipment and technicians around you comply with company and site safety requirements. You prepare detailed daily reports about your findings, including time tracking and special inspection reports. Diligently, you approve and submit important documents such as Lockout/Tagout (LOTO) requests, team reports, and time tracking reports. You take pride in assuring that our clients receive safely installed and functional equipment every time. If you are an analytical and detail-oriented individual who communicates effectively and prioritizes safety, this could be the position for you! Travel may be required. Responsibilities Ability to read and interpret electrical drawings and specifications. Prepare written documentation such as daily narratives (work reports), special inspection reports, and daily time tracking. Perform inspections of switchgear, standby generators, protective relays, and other electrical distribution components. Submit LOTO requests, review and approve team reports, and time tracking. Ensure compliance with all company and site safety requirements. Benefits Competitive pay, depending on experience. Medical, dental, vision, 401(k) with company match, among other benefits. Holidays and paid vacation time. Extensive learning and development opportunities. Requirements Requirements High school diploma or equivalent. Higher education degree preferred. Minimum of two years of experience inspecting, testing, commissioning, or operating electrical distribution systems. Commercial or naval nuclear experience is strongly desired. OSHA 10-hour Construction Safety training. Commitment to excellence and high standards.

At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our clients, teammates, communities and shareholders every day. Being a Great Place to Work is core to how we drive Responsible Growth. This includes our commitment to being an inclusive workplace, attracting and developing exceptional talent, supporting our teammates' physical, emotional, and financial wellness, recognizing and rewarding performance, and how we make an impact in the communities we serve. Bank of America is committed to an in-office culture with specific requirements for office-based attendance and which allows for an appropriate level of flexibility for our teammates and businesses based on role-specific considerations. At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us! Job Summary This job is responsible for reviewing and interpretating large datasets to uncover revenue generation opportunities and ensuring the development of effective risk management strategies. Key responsibilities include working with lines of business to comprehend problems, utilizing sophisticated analytics and deploying advanced techniques to devise solutions, and presenting recommendations based on findings. Job expectations include demonstrating leadership, resilience, accountability, a disciplined approach, and a commitment to fostering responsible growth for the enterprise. This job is responsible for supporting advanced analytics technical development and the pathway to optimality, scalability, and sustainability in close partnership with Bank of America Technology. This work closely integrates with business efforts to improve portfolio risk, profitability, performance forecasting, and operational performance for customer products and related divisions such as credit cards. Key responsibilities include applying knowledge of multiple business and technical-related topics and independently driving strategic improvements, large-scale projects, and initiatives. Job expectations include working with counterparts within the Line of Business, across the technology organization, and risk teams. Client Protection Shared Services - Advanced Analytics is looking for a seasoned and energetic data science leader to join our team as a Lead Data Scientist and help us deliver data science products to the production environment especially for scalable graph analytics. In this role, you will be expected to work on large and complex data science projects. Collaborating with internal strategy, technology, product, and policy partners to deploy advanced analytical solutions with the goal of reducing fraud losses, lowering false positive impacts, improving client experience, and ensuring the Bank minimizes its total cost of fraud. Responsibilities: * Enables business analytics, including data analysis, trend identification, and pattern recognition, using advanced techniques to drive decision making and collection data driven insights * Applies agile practices for project management, solution development, deployment, and maintenance * Develops and reviews technical documentation, capturing the business requirements, and specifications related to the developed analytical solution and implementation in production * Manages multiple priorities and ensures quality and timeliness of work deliverables such as quantitative models, data science products, data analysis reports, or data visualizations, while exhibiting the ability to work independently and in a team environment * Delivers presentations in an engaging and effective manner through in-person and virtual conversations that communicates technical concepts and analysis results to a diverse set of internal stakeholders, and develops professional relationships to foster collaboration on work deliverables * Supports the identification of potential issues and development of controls * Maintains knowledge of the latest advances in the fields of data science and artificial intelligence to support business analytics * Manages a roadmap of data science use cases for technical development and implementation to the production environment in close partnership with Bank of America Technology * Manages relationships with multiple technology platform and development team leaders including alignment of roadmaps, managing projects, and managing risks * Engages business and technology senior leaders on reporting of project/deliverable statuses, opportunity identification, and planning efforts * Oversees development, delivery and quality assurance for data science use cases delivered to the production environment and other areas of the line of business * Performs complex analysis of financial models, market data, financial data, and portfolio trends to understand product performance and improve portfolio risk, profitability, performance forecasting, and operational performance * Coaches and mentors peers to improve proficiency in a variety of systems and serves as a subject matter expert on multiple business and technical-related topics * Identifies business trends based on economic and portfolio conditions and communicates findings to senior management * Supports execution of large scale projects, such as platform conversions or new project integrations by conducting advanced reporting and drawing analytics based insights * Link Analysis/Graph analytics to find and mitigate densely connected fraud networks * Developing and tuning graph algorithms to maximize detection of fraud * Assist with the generation, prioritization, and investigation of fraud rings Required Qualifications: * Minimum of 4 years of experience in data and analytics * Must have familiarity with Graph databases (e.g. TigerGraph, Neo4J) and graph query languages * Must be proficient with SQL and one of SAS, Python, or Java * Critical problem-solving skills including selection of data and deployment of solutions * Proven ability to manage projects, exercise thought leadership and work with limited direction on complex problems to achieve project goals while also leading a broader team * Excellent communication and influencing skills * Thrives in fast-paced and highly dynamic environment * Intellectual curiosity and strong urge to figure out the "whys" of a problem and come up with creative solutions * Expertise handling data across its lifecycle in a variety of formats and storage technologies (e.g., structured, semi-structured, unstructured; graph; hadoop; kafka) * Expertise in data analytics and technical development lifecycles including having coached junior staff Desired Qualifications: * Advanced STEM (Science, Technology, Engineering, Math) degree (Masters or PhD) * 7+ years of experience; work in financial services is very helpful, with preference to fraud, credit, cybersecurity, or other heavily quantitative areas * Deep understanding of graph databases, graph algorithms, and experience developing graph schemas * Understanding of advanced machine learning methodologies including neural networks, ensemble learning like XGB, and other techniques * Proficient with H2O or similar advanced analytical tools * Experience managing multi-year roadmaps, engaging technical and non-technical stakeholders, and leading large cross-functional formal projects * Experience influencing mid to senior (executive) level leaders * Experience managing risk and issue remediation * Understanding of computer science topics like automation, code versioning, computational complexity, parallel processing, requirements gathering, testing methodologies, and development lifecycle models like Agile Skills: * Agile Practices * Application Development * DevOps Practices * Technical Documentation * Written Communications * Artificial Intelligence/Machine Learning * Business Analytics * Data Visualization * Presentation Skills * Risk Management * Adaptability * Collaboration * Consulting * Networking * Policies, Procedures, and Guidelines Management Shift: 1st shift (United States of America) Hours Per Week: 40

# Job Description: AI Task Evaluation & Statistical Analysis Specialist ## Role Overview We're seeking a data-driven analyst to conduct comprehensive failure analysis on AI agent performance across finance-sector tasks. You'll identify patterns, root causes, and systemic issues in our evaluation framework by analyzing task performance across multiple dimensions (task types, file types, criteria, etc.). ## Key Responsibilities - **Statistical Failure Analysis**: Identify patterns in AI agent failures across task components (prompts, rubrics, templates, file types, tags) - **Root Cause Analysis**: Determine whether failures stem from task design, rubric clarity, file complexity, or agent limitations - **Dimension Analysis**: Analyze performance variations across finance sub-domains, file types, and task categories - **Reporting & Visualization**: Create dashboards and reports highlighting failure clusters, edge cases, and improvement opportunities - **Quality Framework**: Recommend improvements to task design, rubric structure, and evaluation criteria based on statistical findings - **Stakeholder Communication**: Present insights to data labeling experts and technical teams ## Required Qualifications - **Statistical Expertise**: Strong foundation in statistical analysis, hypothesis testing, and pattern recognition - **Programming**: Proficiency in Python (pandas, scipy, matplotlib/seaborn) or R for data analysis - **Data Analysis**: Experience with exploratory data analysis and creating actionable insights from complex datasets - **AI/ML Familiarity**: Understanding of LLM evaluation methods and quality metrics - **Tools**: Comfortable working with Excel, data visualization tools (Tableau/Looker), and SQL ## Preferred Qualifications - Experience with AI/ML model evaluation or quality assurance - Background in finance or willingness to learn finance domain concepts - Experience with multi-dimensional failure analysis - Familiarity with benchmark datasets and evaluation frameworks - 2-4 years of relevant experience